Bioconductor version: Release (2.12)
To infer gene networks from time-series measurements is a current challenge into bioinformatics research area. In order to detect dependencies between genes at different time delays, we propose an approach to infer gene regulatory networks from time-series measurements starting from a well known algorithm based on information theory. The proposed algorithm is expected to be useful in reconstruction of small biological directed networks from time course data.
Author: Zoppoli P.,Morganella S., Ceccarelli M.
Maintainer: Zoppoli Pietro <zoppoli.pietro at gmail.com>
To install this package, start R and enter:
To cite this package in a publication, start R and enter:
|biocViews||Microarray, Software, TimeCourse|
|In Bioconductor since||BioC 2.8 (R-2.13)|
|Depends||GenKern, Rgraphviz, Biobase|
|Depends On Me|
|Windows Binary||TDARACNE_1.10.0.zip (32- & 64-bit)|
|Mac OS X 10.6 (Snow Leopard)||TDARACNE_1.10.0.tgz|
|Package Downloads Report||Download Stats|
Common Bioconductor workflows include: